Uterine signaling at the emergence of the embryo from obligate diapause
Bibliographic record
Abstract
Embryonic diapause is the reversible arrest of embryo development prior to implantation under a regime of uterine control that is not well understood. Our objective was to explore uterine modifications associated with the emergence of embryonic diapause in the mink, a species in which embryonic diapause characterizes every gestation. We investigated the uterine transcriptome at reactivation using the suppressive subtractive hybridization technique. A library of 123 differentially expressed genes between uteri with blastocysts in diapause and reactivated blastocysts was generated. Among those genes, 41.5% encode for potential secreted products that are implicated in regulation of cell proliferation (14%), homeostasis (14%), protein folding (11%), electron transport chain (8%), and innate immune response (8%), therefore suggesting that these biological processes are implicated in blastocyst reactivation. Two genes, the high-mobility group nucleosome binding domain 1 (HMGN1), a chromatin remodeling factor, and the secreted protein acidic and cystein-rich (SPARC), which is implicated in extracellular cell-cell interactions, were submitted to more detailed analysis of expression patterns in the mink uterus at blastocyst reactivation. Expression of both HMGN1 and SPARC was increased significantly in the uterus at embryo reactivation compared with diapause, principally in the endometrial epithelium and subepithelial stroma. These results provide new insight into uterine signaling at the emergence of the blastocyst from diapause and highlight the factors HMGN1 and SPARC as potential inductors of uterine environment modifications underlying uterine signaling during emergence of the embryo from embryonic diapause.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".